Category: Blog

M&T Bank expands enterprise AI after years of technology overhaul

M&T Bank expands enterprise AI after years of technology overhaul

M&T Bank has deployed AI copilots to more than 15,000 employees as the US regional bank applies AI to internal operations, customer service, software development, and risk management. The

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I Asked ChatGPT to Analyze 3 Datasets. It Made the Same Mistakes Every Time

I Asked ChatGPT to Analyze 3 Datasets. It Made the Same Mistakes Every Time

We ran an experiment: three small datasets, one AI model, and the questions a business team asks in a normal week — what’s our average delivery time, which region

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Integrating Agentic AI with Existing Machine Learning Pipelines

Integrating Agentic AI with Existing Machine Learning Pipelines

In this article, you will learn how to combine a classical machine learning pipeline with an agentic AI system to build a hybrid, autonomous customer retention workflow. Topics we

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Introducing Gemini 3.5 Transcribe

Introducing Gemini 3.5 Transcribe

Today, we’re introducing Gemini 3.5 Transcribe, our most precise speech-to-text model yet, designed for intelligent voice interactions. Unlike conventional speech recognition models that struggle with background noise, complex jargon,

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Speed Up LLM Inference with DSpark Speculative Decoding

Speed Up LLM Inference with DSpark Speculative Decoding

There are many ways to get more from the models and GPU infrastructure you already have. Quantization, optimized kernels, and better inference engines can all help, but speculative decoding

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Comparing Local Tool Calling Gemma 4 Llama 3 Mistral

Comparing Local Tool Calling: Gemma 4 vs. Llama 3 vs. Mistral

In this article, you will learn how Gemma 4, Llama 3, and Mistral implement tool calling locally, and what trade-offs each model family presents for real-world deployment. Topics we

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Build with Gemini Omni 1.1 Flash

Build with Gemini Omni 1.1 Flash

Today, we’re introducing Gemini Omni 1.1 Flash, a new suite of creative controls and generative video capabilities to support developers. Gemini Omni brought real-world reasoning to generative creation, and

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a quarter of next year's business

a quarter of next year’s business

Nvidia has put nearly US$50 billion into the AI labs that buy its chips, and has lined up commitments for more than $500 billion Colette Kress, the company’s chief

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What We Can Learn From Google Engineers

What We Can Learn From Google Engineers’ Indispensible Prompts

  Most people’s prompt history looks like a junk drawer. A one-off request to explain an error message, a quick “clean this up,” a boilerplate generator used once and

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Example KDnuggets Formatting Post

Learn Vectorized Thinking in Python Through Examples

In this article, you will learn how to think in terms of vectorized operations using NumPy, replacing slow Python loops with efficient array-level computations. Topics we will cover include:

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